Metric Transformations: Explained with Diagrams

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SUMMARY

The discussion focuses on the concept of metric transformations in the context of vector calculus, specifically regarding gradient, curl, and divergence in various coordinate systems. The scaling factor, denoted as \( h_i \), is defined as the length of the vector \( \frac{\partial \vec r}{\partial q_i} \), which is crucial for transforming differential elements between coordinate systems. The transformation equation \( dxi = hi \, dqi \) is established, emphasizing the importance of the metric in defining distances within a manifold. The discussion also highlights the formation of an orthonormal basis using normalized vectors \( \vec e_i \).

PREREQUISITES
  • Understanding of vector calculus concepts such as gradient, curl, and divergence.
  • Familiarity with coordinate transformations in mathematics.
  • Knowledge of differential geometry and manifolds.
  • Basic understanding of orthogonal and orthonormal bases.
NEXT STEPS
  • Study the derivation of the scaling factor \( h_i \) in metric transformations.
  • Explore the application of metrics in differential geometry.
  • Learn about orthonormal bases and their significance in vector spaces.
  • Investigate the implications of metric transformations in physics, particularly in general relativity.
USEFUL FOR

Mathematicians, physicists, and students of advanced calculus or differential geometry who are looking to deepen their understanding of metric transformations and their applications in various coordinate systems.

Muthumanimaran
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When I study about the transformation of coordinates, especially while defining gradient, curl, divergence and other vector integral theorem in different co-ordinate system, a concept called metric is defined and it is said to used for transform these operators in different co-ordinates, it is given as from a rectangular co-ordinate to any system ,it is given as the differential element dxi=hi qi (dqi is the differential element in other co-ordinate system) and hi is scaling factor, but my question is what is this scaling factor, the book I referred just defined this transformation equation and did not derived it, please explain me how this equation came from and explain with diagrams if possible.
 
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The scale factor is (equivalently) the length of the vector
$$
\frac{\partial \vec r}{\partial q_i}, \quad \mbox{i.e.}\quad h_i = \left|\frac{\partial \vec r}{\partial q_i}\right|.
$$
These vectors can be used to form a normalised basis ##\vec e_i## according to
$$
\vec e_i = \frac{1}{h_i} \frac{\partial \vec r}{\partial q_i}.
$$
This is normally done in orthogonal coordinates in such a way that your basis becomes orthonormal.
The metric is a more general concept and defines distances in a general manifold. It can be used to determine the length of vectors.
 

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